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Titlebook: Knowledge Management; Value Creation Throu Klaus North,Gita Kumta Textbook 2018Latest edition Springer International Publishing AG, part of

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樓主: APL
11#
發(fā)表于 2025-3-23 10:40:51 | 只看該作者
Klaus North,Gita Kumtased to delineate the plume footprints of the hazardous releases in Abidjan. The generalized risk zones are then integrated into a Geographic Information Systems (GIS) to assess the environmental impacts of exposure and the demographic profile of residents within these high risk zones.
12#
發(fā)表于 2025-3-23 16:47:45 | 只看該作者
13#
發(fā)表于 2025-3-23 22:03:02 | 只看該作者
Klaus North,Gita Kumtadiseases and their distribution in time and space. Earth observation satellite allows us to quantify physical, chemical and biological factors when considering the association between climate and vector borne diseases, the succeeding associations among the distribution and life cycle of the vector,
14#
發(fā)表于 2025-3-23 22:33:25 | 只看該作者
Klaus North,Gita Kumtation. We also found that the daily community detection results using SCD are different from that using household travel surveys. The SCD results match better with the planned urban area boundary, which means that the actual operation data of publication transportation might be a good source to valid
15#
發(fā)表于 2025-3-24 04:01:01 | 只看該作者
Klaus North,Gita Kumta 2020, and to simulate urban growth scenarios for 2049 based on the urban form and parameter set in 2020. Seven urban growth scenarios are put forward, such as the trend scenario, high-speed growth scenario, low-speed growth scenario, highway finger growth scenario, urban promoting growth scenario,
16#
發(fā)表于 2025-3-24 09:21:26 | 只看該作者
Klaus North,Gita Kumtaession (SAR), the outputs of MGWR indicate that semi-parametric model has better performance in presenting the spatial variation of predictive factors’ impacts. The maps further show that urban form features do impact people’s mobility to various extents, both positively and negatively. Additionally
17#
發(fā)表于 2025-3-24 13:48:58 | 只看該作者
18#
發(fā)表于 2025-3-24 17:32:31 | 只看該作者
into the potential of machine learning and artificial intelligence (AI) techniques to process and analyze vast and diverse data sets, improving predictive modelling and parameter retrievals. It discusses challenges such as spatial and temporal resolutions, atmospheric interference, and data integrat
19#
發(fā)表于 2025-3-24 20:29:39 | 只看該作者
20#
發(fā)表于 2025-3-24 23:31:04 | 只看該作者
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